DaVinci Resolve CLI and MCP server for AI automation

DaVinci Resolve CLI and MCP Server for AI Automation

This tool provides a command-line interface (CLI) and an MCP server for automating DaVinci Resolve workflows. Designed for AI developers, it enables programmatic control over video editing, color grading, and rendering processes. By leveraging LLM-friendly tools and declarative specifications, it simplifies complex video production tasks into structured, machine-readable formats. The output is consistently formatted as JSON, making it ideal for integration into AI-driven pipelines and agent-based systems.

What it Does

The DaVinci Resolve CLI and MCP server allow you to script and automate virtually any aspect of video editing within DaVinci Resolve. This includes importing media, arranging clips on the timeline, applying color corrections and grades, adding effects, and managing render jobs. The MCP server component facilitates real-time interaction and control, enabling AI agents to dynamically adjust parameters and trigger actions based on predefined logic or external data. The core functionality revolves around translating high-level editing instructions into DaVinci Resolve's internal commands, all managed through a developer-centric interface.

Key Features

• LLM-Friendly Tools: Designed to be easily understood and manipulated by Large Language Models, facilitating natural language to video editing command translation.
• Declarative Specifications: Define your video editing projects using clear, structured specifications rather than imperative scripting.
• Structured JSON Output: All outputs, including project states, render logs, and status updates, are provided in a consistent JSON format for seamless integration.
• MCP Server Integration: Enables agent-based automation and real-time control over DaVinci Resolve processes.
• Automated Rendering: Streamline and automate the export of finished video projects with customizable render settings.
• Version Control Friendly: Declarative specs are inherently versionable, aiding in collaborative development and project management.

Who it's For

This tool is specifically built for AI developers, researchers, and engineers who need to integrate video editing and production into their automated systems. It is ideal for:

• AI Agents: Building agents that can automatically edit video content based on prompts or data analysis.
• Automated Content Generation: Creating pipelines for generating video content programmatically.
• ML Researchers: Experimenting with AI models for video manipulation and analysis.
• Technical Directors: Automating repetitive video editing tasks in production environments.